01:44
Drift-free Visual SLAM using Digital Twins (RAL 2025)
04:45
Robotics meets Fluid Dynamics: A Characterization of the Airflow below a Drone as a Turbulent Jet
03:04
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight (CoRL 2024)
02:36
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor (CoRL 2024)
05:09
Learning Quadruped Locomotion Using Differentiable Simulation (CORL 2024, Oral)
04:32
Sight Guide: Vision Assistance for Blind People - Results of the Cybathlon 2024 Competition
02:58
Deep Visual Odometry with Events and Frames (IROS 2024)
03:52
Structure-Invariant Range-Visual-Inertial Odometry for the Mars Science Helicopter (with NASA-JPL)
03:27
Reinforcement Learning Meets Visual Odometry (ECCV 2024)
03:01
Demonstrating Agile Flight from Pixels without State Estimation (RSS 2024)
02:17
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints (RSS'24)
24:32
Learning Robot Control: From RL to Differential Simulation - (PhD Defense of Yunlong Song)
04:30
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames (CVPR 2024)
03:14
State Space Models for Event Cameras (CVPR 2024)
03:56
Low Latency Automotive Vision with Event Cameras (Nature, 2024)
06:59
Actor-Critic Model Predictive Control (Talk ICRA 2024)
02:52
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight (ICRA 2024)
03:01
Contrastive Initial State Buffer for Reinforcement Learning (ICRA 2024)
03:00
Actor-Critic Model Predictive Control (ICRA 2024)
03:22
Revisiting Token Pruning for Object Detection and Instance Segmentation (WACV 2024)
21:51
Data-Driven Methods for Event Cameras (Ph.D. defense of Mathias Gehrig)
01:26:23
Human-Level Performance with Autonomous Vision-based Drones - Davide Scaramuzza
03:42
Learned Inertial Odometry for Autonomous Drone Racing (RAL 2023 narrated)
04:43
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning (SciRob 23)
20:35
Efficient, Data-Driven Perception with Event Cameras (Ph.D. Defense of Daniel Gehrig)
04:51
Champion-level Drone Racing using Deep Reinforcement Learning (Nature, 2023)
04:00
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO (RSS 2023)
02:31
Recurrent Vision Transformers for Object Detection with Event Cameras (CVPR 2023)
02:25
Learning Perception-Aware Agile Flight in Cluttered Environment (ICRA 2023)
02:30
Autonomous Power Line Inspection with Drones via Perception-Aware MPC (IROS 2023)
05:22
A Comparative Study of NMPC and Differential Flatness Control for Quadrotor Agile Flight (TRO 2022)
06:00
Training Efficient Controllers via Analytic Policy Gradient (ICRA 2023)
03:38
Event-based Shape from Polarization (CVPR 2023)
03:21
Data-driven Feature Tracking for Event Cameras (CVPR 2023, Award Candidate)
02:31
Event-based Agile Object Catching with a Quadrupedal Robot (ICRA 2023)
01:42
Learned Inertial Odometry for Autonomous Drone Racing (RAL 2023)
02:19
Weighted Maximum Likelihood for Controller Tuning (ICRA 2023)
01:41
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight (Science Robotics)
03:00
User-Conditioned Neural Control Policies for Mobile Robotics (ICRA 2023)
03:29
10-Year Anniversary of the UZH Robotics and Perception Group
02:33
Swiss Robotics Days 2022 (RSI LA1 05.11.2022)
02:37
Swiss Robotics Days 2022 (SRF Tagesschau 05.11.2022)
03:26
Parabolic Flight Experiments | How Gravity affects Self-Motion estimation in Drone Pilots
06:50
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry (RAL-IROS 2022)
06:31
Exploring Event Camera-based Odometry for Planetary Robots (RAL-IROS 2022)
06:53
Time-Optimal Online Replanning for Agile Quadrotor Flight (RAL-IROS 2022 talk)
04:37
The Hilti SLAM Challenge Dataset (RAL-IROS 2022)
03:27
ESS: Learning Event-based Semantic Segmentation from Still Images (ECCV 2022)
07:18
Autonomous Drones - Droni autonomi - SuperQuark RAI1 - Main Italian TV - July 13, 2022
02:47
Learning Minimum-Time Flight in Cluttered Environments (RAL 2022)
04:37
Time Lens++: Event-based Frame Interpolation with Parametric Flow and Multi-scale Fusion (CVPR 2022)
01:11
Swiss Drone Days - Zurich, June 11-12, 2022 - Teaser #2
02:48
Time-Optimal Online Replanning for Agile Quadrotor Flight (RAL 2022)
00:29
Swiss Drone Days - Zurich, June 11-12, 2022 - Teaser #1
03:15
Event-aided Direct Sparse Odometry (CVPR 2022, Oral)
01:56
Multi-Bracket High Dynamic Range Imaging with Event Cameras (CVPR 2022)
03:48
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study (RA-L 2022)
03:29
AEGNN: Asynchronous Event-based Graph Neural Networks (CVPR 2022)
00:29
DodgeDrone Competition - ICRA 2022
04:28
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight (ICRA 2022)
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About
Welcome to the YouTube Channel of the Robotics and Perception Group led by Prof. Davide Scaramuzza. Our lab was founded in February 2012 and is part of the Department of Informatics at the University of Zurich, and the Department of Neuroinformatics, of the University of Zurich and ETH Zurich.
Our mission is to develop autonomous machines that can navigate all by themselves using only onboard cameras, without relying on external infrastructure, such as GPS or motion capture systems. Our interests encompass both ground and micro flying robots, as well as multi-robot heterogeneous systems consisting of the combination of these two. We do not want our machines to be passive, but active, in that they should react to and navigate within their environment so as to gain the best knowledge from it.
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